Choosing a document verification partner is a significant decision. This page helps procurement and operations teams understand how TamperCheck compares to HyperVerge - on pricing, privacy posture, and what it actually takes to get started. Note that TamperCheck works on digital PDFs and scanned hard copies alike - including physical stamp verification and handwritten signature analysis, not just native digital files.
Digital PDFs
text layer + raster analysis
Phone photos & scans
camera captures and flatbed scans
Physical stamp verification
ink bleed, embossing, overlay detection
Handwritten signature analysis
forgery and substitution checks
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- HyperVerge
- IDs across India, SE Asia, Africa and the US - passports, licences, voter IDs
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- HyperVerge
- Forgery detection on edited IDs, tampering checks, passive liveness
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- HyperVerge
- GenAI document identification at 95%+ accuracy (their claim)
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- HyperVerge
- On identity documents
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- HyperVerge
- OCR for financial documents; not PDF forensics
Malware & file safety scanning
- TamperCheck.ai
- On every upload
- HyperVerge
- Not advertised
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- HyperVerge
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- HyperVerge
- Pass or fail per check
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- HyperVerge
- ID security features
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- HyperVerge
- Not publishedLimited
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- HyperVerge
- A verification outcome inside a KYC flow
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- HyperVerge
- Seconds per verification
Price per document
- TamperCheck.ai
- Per document, published
- HyperVerge
- Not publishedLimited
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- HyperVerge
- Contracted, by volume
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- HyperVerge
- Demo required
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- HyperVerge
- Set by contract and local regulation
Training on your documents
- TamperCheck.ai
- Never
- HyperVerge
- Governed by contract, not published
| TamperCheck.ai | HyperVerge | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | IDs across India, SE Asia, Africa and the US - passports, licences, voter IDs |
| Forensic checks per document | 200+ forensic layers on every upload | Forgery detection on edited IDs, tampering checks, passive liveness |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | GenAI document identification at 95%+ accuracy (their claim) |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | On identity documents |
| PDF & file structure | Objects, fonts, metadata and editor traces | OCR for financial documents; not PDF forensics |
| Malware & file safety scanning | On every upload | Not advertised |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | Pass or fail per check |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | ID security features |
| Automated QC on findings | Every finding re-validated before you see it | Not publishedLimited |
| What you get back | A verdict, the field named, in plain English | A verification outcome inside a KYC flow |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | Seconds per verification |
| Price per document | Per document, published | Not publishedLimited |
| Commitment | None - no seat fees, no minimum, no cap | Contracted, by volume |
| How you start | Self-serve - first top-up matched free, live the same day | Demo required |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Set by contract and local regulation |
| Training on your documents | Never | Governed by contract, not published |
When to choose TamperCheck
- You need forensic depth on documents - not just pass/fail from OCR and face match - with plain-English findings tied to specific regions of the file.
- You want transparent per-document pricing without committing to an identity platform.
- Your use case extends beyond identity: bank statements, invoices, payslips, certificates, and contracts need verification too.
- Privacy posture matters: ephemeral processing, zero document storage, no PII retention by default.
- Digital signatures are verified, not just displayed. When a document carries one, we resolve the certificate itself: who issued it, whether that issuer is on a trusted list, and whether the chain is complete.
When to choose HyperVerge
- You need end-to-end KYC onboarding with face match, liveness, and OCR extraction - especially in APAC markets where HyperVerge has deep coverage.
- You want a mobile-first SDK with guided capture for consumer-facing applications.
- Your procurement prefers a single vendor covering identity verification, document processing, and fraud detection in one product.
Identity platform vs. document forensic API
HyperVerge's sweet spot is APAC fintech onboarding: capture an Aadhaar card, match the selfie, extract the data, run fraud checks - all in one API. TamperCheck doesn't compete with that journey. It competes when the document is already in your system and you need to answer whether it's been tampered with or fabricated.
The differentiator is depth vs breadth. HyperVerge gives you a wide identity stack. TamperCheck gives you deep forensic analysis on document bytes - 200+ checks, AI-generation detection, and the altered field named. If you need both identity verification and document forensics, they're complementary rather than exclusive.
TamperCheck vs HyperVerge: common questions
What is the best HyperVerge alternative for document fraud?
TamperCheck.ai, when the need is forensic analysis rather than an onboarding journey. HyperVerge covers capture, face match and extraction in one flow. TamperCheck analyses the document bytes - 200+ forensic layers, per-field tamper localisation and AI-generation detection - on files that arrive through any channel.
Can I add TamperCheck to an existing KYC stack?
Yes. It's a single endpoint returning structured findings, so it slots in behind whatever onboarding you run today. Teams typically keep their identity vendor for the signup journey and route supporting documents to TamperCheck for the forensic verdict.
Does TamperCheck cover Asian document formats?
Yes - 100+ document types across 190+ countries, with no per-format training required. The analysis is template-free and reads the file's own internal consistency, so a regional payslip or bank statement is judged to the same standard as any other document.
See results in minutes - not after a sales cycle
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